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journal of hydrology

ISSN 0022-1694· EN

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28.7 / 100
Journament Score
Poor
Ranked #23,390 of 29,312 scored journals (34,012 indexed)
26 Articles
Scores higher than 20.2% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name j hydrol (amst)
Abbreviated Name journal of hydrology
ISSN 0022-1694
URL http://www.elsevier.com/wps/find/journaldescription.cws_home/503343/description

Quality Profile

7 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.

Show the numbers
Dimension This journal Corpus average
Engagement 31.1 30.4
Accessibility 20.0 20.4
Timeliness 0.0 5.8
Diversity 44.4 24.4
Innovation 19.5 25.7
Community Impact 10.0 5.8
Content Distribution 64.7 88.6
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (26)

2017
Multi-scale quantitative precipitation forecasting using nonlinear and nonstationary teleconnection signals and artificial neural network models.
Chang, Ni-Bin;Yang, Y Jeffrey;Imen, Sanaz;Mullon, Lee;
Vol. 548 , pp. 305-321
451 views Abstract
2019
Response of soil water movement and groundwater recharge to extreme precipitation in a headwater catchment in the North China Plain
Zheng, W.
Vol. 576 , pp. 466-477
402 views DOI
2019
Simulating lake and wetland areal coverage under future groundwater recharge projections: The Nebraska Sand Hills system
Rossman, N.
Vol. 576 , pp. 185-196
398 views DOI
2020
The cloud model based stochastic multi-criteria decision making technology for river health assessment under multiple uncertainties
Yang, Z.
Vol. 581 , pp. 0-0
380 views DOI Abstract
2016
Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution
Kisi, O.
Vol. 534 , pp. 104-112
376 views DOI
2019
Seasonal and diurnal variations in DIC, NO<inf>3</inf><sup>−</sup> and TOC concentrations in spring-pond ecosystems under different land-uses at the Shawan Karst Test Site, SW China: Carbon limitation of aquatic photosynthesis
Zeng, S.
Vol. 574 , pp. 811-821
350 views DOI
2019
Contribution of rainfall and agricultural returns to groundwater recharge in arid areas
Jafari, H.
Vol. 575 , pp. 1230-1238
339 views DOI
2019
Groundwater dynamics due to general stream fluctuations in an unconfined single or dual-porosity aquifer subjected to general areal recharge
Sedghi, M.
Vol. 574 , pp. 436-449
324 views DOI
2015
Spatio-temporal estimation of consumptive water use for assessment of irrigation system performance and management of water resources in irrigated Indus Basin, Pakistan
Usman, M.
Vol. 525 , pp. 26-41
319 views DOI
2006
Response to comment by Jozsef Szilagyi on "Using numerical modelling to evaluate the capillary fringe groundwater ridging hypothesis of streamflow generation" (Journal of Hydrology 316 (2006) 141-162)
Cloke, H.
Vol. 329 , pp. 730-732
313 views DOI
2020
Degradation of groundwater quality in expanding cities in West Africa. A case study of the unregulated shallow aquifer in Cotonou
Honoré Houéménou;Sarah Tweed;Gauthier Dobigny;Daouda Mama;Marc Leblanc;
Vol. 582 , No. 4 , pp. -
147 views DOI Abstract
2020
Groundwater use and rapid irrigation expansion in a changing climate: Hydrological drivers in one of the world's food bowls
Peña-Arancibia, J.
Vol. 581 , pp. 0-0
141 views DOI
2020
A survey on river water quality modelling using artificial intelligence models: 2000–2020
Tiyasha,
Vol. 585 , pp. 0-0
224 views DOI
2020
A virtual geographic environment for multi-compartment water and solute dynamics in large catchments
Rink, K.
Vol. 582 , pp. 0-0
69 views DOI
2020
Climate change vulnerability assessment and adaptation strategies through best management practices
Giri, S.
Vol. 580 , pp. 0-0
179 views DOI
2020
Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
Tikhamarine, Y.
Vol. 582 , pp. 0-0
222 views DOI
2020
Disentangling effects of forest harvest on long-term hydrologic and sediment dynamics, western Cascades, Oregon
Safeeq, M.
Vol. 580 , pp. 0-0
188 views DOI
2020
The impact of across-slope forest strips on hillslope subsurface hydrological dynamics
Peskett, L.
Vol. 581 , pp. 0-0
109 views DOI
2020
The cloud model based stochastic multi-criteria decision making technology for river health assessment under multiple uncertainties
Yang, Z.
Vol. 581 , pp. 0-0
380 views DOI Abstract
2019
Climate change uncertainties in seasonal drought severity-area-frequency curves: Case of arid region of Pakistan
Ahmed, K.
Vol. 570 , pp. 473-485
204 views DOI
Journament Score
28.7/100 · Poor
Ranked #23,390 of 29,312 scored
(34,012 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

28.7/100

Tier: Poor

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

31.1/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

20.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

44.4/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

19.5/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

10.0/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

0.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

64.7/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.